• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

计算显微镜时代抗癌金属药物分子机制的组学视角

An omics perspective to the molecular mechanisms of anticancer metallo-drugs in the computational microscope era.

作者信息

Spinello Angelo, Magistrato Alessandra

机构信息

a CNR-IOM-DEMOCRITOS c/o International School for Advanced Studies (SISSA/ISAS) , Trieste , Italy.

出版信息

Expert Opin Drug Discov. 2017 Aug;12(8):813-825. doi: 10.1080/17460441.2017.1340272. Epub 2017 Jun 21.

DOI:10.1080/17460441.2017.1340272
PMID:28604114
Abstract

Metallo-drugs have attracted enormous interest for cancer treatment. The achievements of this drug-type are summarized by the success story of cisplatin. That being said, there have been many drawbacks with its clinical use, which prompted decades worth of research efforts to move towards safer and more effective agents, either containing platinum or different metals. Areas covered: In this review, the authors provide an atomistic picture of the molecular mechanisms involving selected metallo-drugs from structural and molecular simulation studies. They also provide an omics perspective, pointing out many unsettled aspects of the most relevant families of metallo-drugs at an epigenetic level. Expert opinion: Molecular simulations are able to provide detailed information at atomistic and temporal (ps) resolutions that are rarely accessible to experiments. The increasing accuracy of computational methods and the growing performance of computational platforms, allow us to mirror wet lab experiments in silico. Consequently, the molecular mechanisms of drugs action/failure can be directly viewed on a computer screen, like a 'computational microscope', allowing us to harness this knowledge for the design of the next-generation of metallo-drugs.

摘要

金属药物在癌症治疗方面引起了极大的关注。顺铂的成功故事总结了这类药物所取得的成就。话虽如此,其临床应用存在诸多缺点,这促使人们进行了数十年的研究,致力于开发更安全、更有效的药物,包括含铂药物或其他不同金属的药物。涵盖领域:在本综述中,作者从结构和分子模拟研究方面,对所选金属药物的分子机制提供了原子层面的描述。他们还从组学角度指出了在表观遗传水平上,最相关的金属药物家族中许多尚未解决的问题。专家观点:分子模拟能够以原子分辨率和时间分辨率(皮秒)提供详细信息,而这些信息在实验中很少能够获取。计算方法准确性的不断提高以及计算平台性能的不断提升,使我们能够在计算机模拟中重现湿实验室实验。因此,药物作用/失效的分子机制可以像通过“计算显微镜”一样直接在电脑屏幕上看到,这使我们能够利用这些知识来设计下一代金属药物。

相似文献

1
An omics perspective to the molecular mechanisms of anticancer metallo-drugs in the computational microscope era.计算显微镜时代抗癌金属药物分子机制的组学视角
Expert Opin Drug Discov. 2017 Aug;12(8):813-825. doi: 10.1080/17460441.2017.1340272. Epub 2017 Jun 21.
2
Frontiers of metal-coordinating drug design.金属配位药物设计前沿
Expert Opin Drug Discov. 2021 May;16(5):497-511. doi: 10.1080/17460441.2021.1851188. Epub 2020 Dec 1.
3
First-principles modeling of biological systems and structure-based drug-design.生物系统的第一性原理建模与基于结构的药物设计。
Curr Comput Aided Drug Des. 2013 Mar;9(1):15-34.
4
Modeling anticancer drug-DNA interactions via mixed QM/MM molecular dynamics simulations.通过混合量子力学/分子力学分子动力学模拟对抗癌药物与DNA的相互作用进行建模。
Org Biomol Chem. 2006 Jul 7;4(13):2507-17. doi: 10.1039/b604263p. Epub 2006 May 17.
5
Computational metallomics of the anticancer drug cisplatin.抗癌药物顺铂的计算金属组学
J Inorg Biochem. 2015 Dec;153:231-238. doi: 10.1016/j.jinorgbio.2015.10.001. Epub 2015 Oct 8.
6
All-atom simulations to studying metallodrugs/target interactions.全原子模拟研究金属药物/靶标相互作用。
Curr Opin Chem Biol. 2021 Apr;61:1-8. doi: 10.1016/j.cbpa.2020.07.005. Epub 2020 Aug 8.
7
Computational modeling in melanoma for novel drug discovery.黑色素瘤的新型药物研发中的计算建模。
Expert Opin Drug Discov. 2016 Jun;11(6):609-21. doi: 10.1080/17460441.2016.1174688. Epub 2016 Apr 21.
8
p-Cymene metallo-derivatives: An overview on anticancer activity.对伞花烃金属衍生物的抗癌活性的综述
Cell Mol Biol (Noisy-le-grand). 2020 Jun 25;66(4):28-32.
9
Metal based drugs: from serendipity to design.金属基药物:从偶然发现到设计研发
Dalton Trans. 2007 Nov 21(43):4903-17. doi: 10.1039/b705551j. Epub 2007 Sep 19.
10
DNA binding mode of ruthenium complexes and relationship to tumor cell toxicity.钌配合物的DNA结合模式及其与肿瘤细胞毒性的关系。
Drug Resist Updat. 2006 Jun;9(3):111-22. doi: 10.1016/j.drup.2006.05.002. Epub 2006 Jun 21.

引用本文的文献

1
Unraveling the Molecular Basis for G-Quadruplex-Binders to ALS/FTD-Associated G4C2 Repeats of the C9orf72 Gene.解析G-四链体结合剂作用于C9orf72基因中与肌萎缩侧索硬化症/额颞叶痴呆相关的G4C2重复序列的分子基础。
Chembiochem. 2025 Apr 14;26(8):e202400974. doi: 10.1002/cbic.202400974. Epub 2025 Jan 20.
2
Frontiers of metal-coordinating drug design.金属配位药物设计前沿
Expert Opin Drug Discov. 2021 May;16(5):497-511. doi: 10.1080/17460441.2021.1851188. Epub 2020 Dec 1.
3
Targeting Orthosteric and Allosteric Pockets of Aromatase via Dual-Mode Novel Azole Inhibitors.
通过双模式新型唑类抑制剂靶向芳香化酶的正构和变构口袋
ACS Med Chem Lett. 2020 Mar 23;11(5):732-739. doi: 10.1021/acsmedchemlett.9b00591. eCollection 2020 May 14.
4
Dynamics Insights Into the Gain of Flexibility by Helix-12 in ESR1 as a Mechanism of Resistance to Drugs in Breast Cancer Cell Lines.对雌激素受体1(ESR1)中螺旋12灵活性增加的动力学见解,作为乳腺癌细胞系耐药机制的研究
Front Mol Biosci. 2020 Jan 24;6:159. doi: 10.3389/fmolb.2019.00159. eCollection 2019.
5
Unraveling the Impact of Cysteine-to-Serine Mutations on the Structural and Functional Properties of Cu(I)-Binding Proteins.解析半胱氨酸到丝氨酸突变对 Cu(I)结合蛋白结构和功能特性的影响。
Int J Mol Sci. 2019 Jul 14;20(14):3462. doi: 10.3390/ijms20143462.
6
A Computational Assay of Estrogen Receptor α Antagonists Reveals the Key Common Structural Traits of Drugs Effectively Fighting Refractory Breast Cancers.一种雌激素受体 α 拮抗剂的计算分析揭示了有效治疗难治性乳腺癌药物的关键共同结构特征。
Sci Rep. 2018 Jan 12;8(1):649. doi: 10.1038/s41598-017-17364-4.